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Deep neural networks

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.

https://github.com/j3-signalroom/j3-ml_ai-education_experiences

Some of the project notebooks I built during my deepatlas.ai well-rounded education program.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning

Last synced: 07 Feb 2025

https://github.com/sathvik902/master-chef

A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.

deep-neural-networks lstm

Last synced: 25 Jan 2025

https://github.com/coreyjs/bike-sharing-neural-network

Part of Udacity's deep learning program. This is a simple neural network to predict bike ridership trends.

deep-learning deep-neural-networks machine-learning machinelearning ml neural-network neural-networks python udacity

Last synced: 14 Feb 2025

https://github.com/coreyjs/dog-breed-classifier

A transfer learning neural network to classify dog breeds.

classification deep-learning deep-neural-networks machine-learning ml

Last synced: 14 Feb 2025

https://github.com/abdullah2020/hamoye_staged

This is my Stage_D Hamoye Internship project. The project focuses strongly in developing CNN Deep Learning algorithm model that would analysis huge image dataset.

cnn-model deep deep-neural-networks image-classification

Last synced: 31 Jan 2025

https://github.com/ddubeyyy/caption_generator

An AI-powered image caption generator using deep learning techniques to automatically generate descriptive captions for images. Utilizes CNNs for feature extraction and RNNs for sequence prediction.

cnn deep-neural-networks keras-tensorflow nlp-machine-learning rnn-tensorflow tensorflow vgg16

Last synced: 01 Feb 2025

https://github.com/volf52/deep-neural-net

A simple deep neural net class written to work with Numpy and Cupy

binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3

Last synced: 01 Feb 2025

https://github.com/andersonjesusvital/speech-recognition-rnn

Deep learning-based subtitle generation model that processes audio datasets to generate accurate text transcriptions. Includes audio feature extraction, encoder-decoder architecture, training pipelines, and evaluation metrics for subtitle alignment.

deep-neural-networks dnn gated-recurrent-units gru lstm online-speech-recognition recurrent-neural-networks rnn rnn-tensorflow rnnt sequence-to-sequence speech-to-text tensorflow transformer-transducer

Last synced: 01 Feb 2025

https://github.com/cseas/image-classifier

Deep Neural Network Classifier to recognise images based on custom training classes.

classify-images deep-learning deep-neural-networks image-classifier python python3 tensorboard tensorflow

Last synced: 27 Dec 2024

https://github.com/mzguntalan/red

A place for code to relax in happiness without the pressure of maintenance. Mostly related to Machine Learning and Deep Learning

deep-learning deep-neural-networks haiku jax linear-transformer neural-networks optax

Last synced: 01 Feb 2025

https://github.com/george-nyamao/keras-cnn-mnist-tuning

This repository illustrates model tuning using the Keras MNIST dataset with CNN.

convolutional-neural-networks deep-learning deep-neural-networks keras-tensorflow mnist-dataset

Last synced: 01 Feb 2025

https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models

Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.

classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model

Last synced: 16 Jan 2025

https://github.com/shubhamahobia/ann-classification

The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.

aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning

Last synced: 27 Dec 2024

https://github.com/jkevin2010/deep-learning-and-early-dementia-detection

Development of new interpretable deep learning frameworks for the early detection of Alzheimer's Disease and Related Dementias (ADRD)

alzheimer-disease-prediction chaos-theory deep-neural-networks dementia-detection

Last synced: 08 Feb 2025

https://github.com/chengetanaim/customer-churn-prediction

Customer churn is the loss of customers or subscribers for any reason at all. In this project I was predicting customer churn using artificial neural networks.

artificial-neural-networks deep-learning deep-neural-networks keras machine-learning pandas pandas-dataframe tensorflow2

Last synced: 15 Feb 2025

https://github.com/kartikchugh/deepneuralnetworks

A Java library for building, training, and testing deep learning neural networks

deep-learning deep-neural-networks machine-learning neural-network neural-networks

Last synced: 08 Feb 2025

https://github.com/kartikchugh/neural-energy

Deep Neural Networks applied to representations of potential energy surfaces

deep-learning deep-neural-networks materials-science potential-energy-surfaces

Last synced: 08 Feb 2025

https://github.com/blacksujit/deep-learning-specialization-repo

This repo contains the neural networks learning's with tensorflow with all the high level deep learning concepts i am learning with project implementation

deep deep-layers deep-learning deep-neural-networks embeddings-word2vec llvm network-embeddings neural-network transformers-layers transformers-models vision-language-model

Last synced: 08 Feb 2025

https://github.com/edreate/neural_learn

A Deep Learning library based on Pytorch and PyTorch Lightning which makes Deep Learning even simpler.

deep-learning deep-neural-networks python3 pytorch pytorch-lightning

Last synced: 08 Feb 2025

https://github.com/architgargpro/emotiondetector

This Machine Learning project aims to classify the emotion on a person's face into one of four categories, using deep convolutional neural networks.

cnn-keras deep-neural-networks keras-tensorflow machine-learning python

Last synced: 20 Jan 2025

https://github.com/angrybayblade/nnviz

📊 NNViz is interactive visualization tool for Tensorflow made neural networks.

artificial-intelligence artificial-neural-networks deep-neural-networks interpretable-machine-learning tensorflow visualization-tools

Last synced: 08 Feb 2025

https://github.com/krishna-smapca/neural-network-using-pytorch

This repo contains the implemention of few neural network on Fashion Mnist Dataset, designed for Multi-Class classification

ai ann artificial-intelligence classification deep-neural-networks machine-learning neural-networks python3 pytorch pytorch-implementation

Last synced: 11 Feb 2025